5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients

Autor: Tatsuya Matsumoto, Kengo Okochi, Hideo Tanaka, Tetsuro Takamatsu, Yoshinori Harada, Hisataka Matsuo, Naotaka Koshiishi, Yasutoshi Murayama, Eigo Otsuji
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Gastric Cancer
ISSN: 1436-3305
1436-3291
Popis: Background 5-aminolevulinic acid (5-ALA) has been utilized for cancer diagnosis as a fluorescence probe. We have reported the feasibility of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence for detecting lymph node (LN) metastasis in gastrointestinal malignancies. However, a major barrier to the fluorescence diagnosis has been that the evaluation has been highly dependent on the observers. In this study, we examined the validity of a developed device for automated detection without subjectivity. Methods Gastric cancer patients who received oral administration of 5-ALA (20 mg/kg) prior to surgery were enrolled. For a total of 323 LNs obtained from 64 patients, the diagnostic results of the device were compared to those of conventional histopathological examination based on hematoxylin-and-eosin-stained slides. The accuracy with the device was compared to that of stereoscopic detection with conventional fluorescence microscopy for 211 LNs from 42 patients. We used two types of image processing that we previously developed to eliminate autofluorescence of background tissues: differential and ratio methods. Results For detection of metastasis in 323 LNs, the areas under the receiver operating characteristic curves with the differential method and ratio method were 0.921 and 0.909, respectively. The sensitivity, specificity, and accuracy with the differential method were 78.0%, 96.8%, and 94.4%; while those with the ratio method were 78.0%, 96.1%, and 93.8%, respectively. In 211 LN analysis, the diagnostic accuracy with the device was comparable to that of stereoscopic examination. Conclusion Our device for automated detection of LN metastasis using 5-ALA can be a useful tool for intraoperative diagnosis.
Databáze: OpenAIRE